给定一个字符串 s
和一个字符串字典 wordDict
,在字符串 s
中增加空格来构建一个句子,使得句子中所有的单词都在词典中。以任意顺序 返回所有这些可能的句子。
注意:词典中的同一个单词可能在分段中被重复使用多次。
示例 1:
输入:s = "catsanddog
", wordDict =["cat","cats","and","sand","dog"]
输出:["cats and dog","cat sand dog"]
示例 2:
输入:s = "pineapplepenapple", wordDict = ["apple","pen","applepen","pine","pineapple"] 输出:["pine apple pen apple","pineapple pen apple","pine applepen apple"] 解释: 注意你可以重复使用字典中的单词。
示例 3:
输入:s = "catsandog", wordDict = ["cats","dog","sand","and","cat"] 输出:[]
提示:
1 <= s.length <= 20
1 <= wordDict.length <= 1000
1 <= wordDict[i].length <= 10
s
和wordDict[i]
仅有小写英文字母组成wordDict
中所有字符串都 不同
方法一:前缀树 + DFS
class Trie:
def __init__(self):
self.children = [None] * 26
self.is_end = False
def insert(self, word):
node = self
for c in word:
idx = ord(c) - ord('a')
if node.children[idx] is None:
node.children[idx] = Trie()
node = node.children[idx]
node.is_end = True
def search(self, word):
node = self
for c in word:
idx = ord(c) - ord('a')
if node.children[idx] is None:
return False
node = node.children[idx]
return node.is_end
class Solution:
def wordBreak(self, s: str, wordDict: List[str]) -> List[str]:
def dfs(s):
if not s:
return [[]]
res = []
for i in range(1, len(s) + 1):
if trie.search(s[:i]):
for v in dfs(s[i:]):
res.append([s[:i]] + v)
return res
trie = Trie()
for w in wordDict:
trie.insert(w)
ans = dfs(s)
return [' '.join(v) for v in ans]
class Trie {
Trie[] children = new Trie[26];
boolean isEnd;
void insert(String word) {
Trie node = this;
for (char c : word.toCharArray()) {
c -= 'a';
if (node.children[c] == null) {
node.children[c] = new Trie();
}
node = node.children[c];
}
node.isEnd = true;
}
boolean search(String word) {
Trie node = this;
for (char c : word.toCharArray()) {
c -= 'a';
if (node.children[c] == null) {
return false;
}
node = node.children[c];
}
return node.isEnd;
}
}
class Solution {
private Trie trie = new Trie();
public List<String> wordBreak(String s, List<String> wordDict) {
for (String w : wordDict) {
trie.insert(w);
}
List<List<String>> res = dfs(s);
return res.stream().map(e -> String.join(" ", e)).collect(Collectors.toList());
}
private List<List<String>> dfs(String s) {
List<List<String>> res = new ArrayList<>();
if ("".equals(s)) {
res.add(new ArrayList<>());
return res;
}
for (int i = 1; i <= s.length(); ++i) {
if (trie.search(s.substring(0, i))) {
for (List<String> v : dfs(s.substring(i))) {
v.add(0, s.substring(0, i));
res.add(v);
}
}
}
return res;
}
}
type Trie struct {
children [26]*Trie
isEnd bool
}
func newTrie() *Trie {
return &Trie{}
}
func (this *Trie) insert(word string) {
node := this
for _, c := range word {
c -= 'a'
if node.children[c] == nil {
node.children[c] = newTrie()
}
node = node.children[c]
}
node.isEnd = true
}
func (this *Trie) search(word string) bool {
node := this
for _, c := range word {
c -= 'a'
if node.children[c] == nil {
return false
}
node = node.children[c]
}
return node.isEnd
}
func wordBreak(s string, wordDict []string) []string {
trie := newTrie()
for _, w := range wordDict {
trie.insert(w)
}
var dfs func(string) [][]string
dfs = func(s string) [][]string {
res := [][]string{}
if len(s) == 0 {
res = append(res, []string{})
return res
}
for i := 1; i <= len(s); i++ {
if trie.search(s[:i]) {
for _, v := range dfs(s[i:]) {
v = append([]string{s[:i]}, v...)
res = append(res, v)
}
}
}
return res
}
res := dfs(s)
ans := []string{}
for _, v := range res {
ans = append(ans, strings.Join(v, " "))
}
return ans
}